Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures

J Autism Dev Disord. 2023 Oct;53(10):3916-3931. doi: 10.1007/s10803-022-05691-z. Epub 2022 Aug 5.

Abstract

This longitudinal study examined the degree to which standardized measures of language and natural language samples predicted later language usage in a heterogeneous sample of children with autism spectrum disorder (ASD), and how this relationship is impacted by ASD severity and interventions. Participants with a diagnosis of ASD (N = 54, 41 males) completed standardized assessments of language and social functioning; natural language samples were transcribed from play-based interactions. Findings indicated that standardized language measures, natural language measures, and ADOS severity were each unique predictors of later lexical use. Intervention types also appeared to impact later language; in particular, participation in mainstream inclusion accounted for significant amounts of variance in children's mean length of utterance at T3.

Keywords: Assessment; Autism spectrum disorder; Interventions; Language.

MeSH terms

  • Autism Spectrum Disorder* / diagnosis
  • Child
  • Humans
  • Language
  • Longitudinal Studies
  • Male